Congratulations to the latest recipients of the Dr. Carol S. Gleich Development Award! This award is available to faculty members and graduate students in the College of Public Health to support travel expenses to perform an official function at a national or international meeting.

Applications for this award are reviewed twice yearly, on or around October 1 and March 1. Award details, eligibility, and submission guidelines are available here.

October 2024 Recipients

Students

Joy Chioma Edeh MS Student, Epidemiology
Meeting: American Public Health Association Annual Meeting & Expo
Location: Minneapolis, MN
Meeting Dates: October 27-30, 2024
Purpose: Presentation, “Obstetric Mistreatment Among Women Living with HIV: A Global Systematic Review”

Stephanie Jansson PhD Student, Biostatistics
Meeting: International Cycling Safety Conference
Location: Imabari, Japan
Meeting Dates: November 5-7, 2024
Purpose: Presentation, “A Naturalistic Study Assessing the Impact of Bicycle Daytime Running Lights on Motor Vehicle Passing Distances”

Emily Killian PhD Student, Community & Behavioral Health
Meeting: Gerontological Society of America Annual Scientific Meeting
Location: Seattle, WA
Meeting Dates: November 13-16, 2024
Purpose: Presentation, “Building and Sustaining Organizational Partnerships to Support Disaster Preparedness in Older Adults”

Faculty

Rima Afifi Professor, Community & Behavioral Health
Meeting: ACCESS Arab Health Summit
Location: Dearborn, MI
Meeting Dates: October 21-23, 2024
Purpose: Keynote, “Changing the Narrative – Uplifting Strengths of People who are Refugees”; Panel Discussion, “Re-building Public Health Infrastructure in Gaza”; Co-Moderator, “Health and Wellbeing of Refugees, Immigrants, and IDPs: Preserving Dignity in/at Times of Injustice”

Michael Pentella Clinical Professor, Epidemiology
Meeting: American Society for Microbiology Clinical Virology Symposium
Location: Long Beach, California
Meeting Dates: October 7-10, 2024
Purpose: Presentation, “Mpox Surveillance Using Rectal Swabs for Unsuspected Case Detection”